• Frontiers of Optoelectronics
  • Vol. 4, Issue 4, 434 (2011)
Minghui YANG1、*, Sihai CHEN1、2, Xin WU1, Wen FU1, and Zhangli HUANG1
Author Affiliations
  • 1College of Optoelectronic Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
  • 2Wuhan National Laboratory for Optoelectronics, Wuhan 430074, China
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    DOI: 10.1007/s12200-011-0177-2 Cite this Article
    Minghui YANG, Sihai CHEN, Xin WU, Wen FU, Zhangli HUANG. Identification and replacement of defective pixel based on Matlab for IR sensor[J]. Frontiers of Optoelectronics, 2011, 4(4): 434 Copy Citation Text show less
    References

    [1] Tajbakhsh T. Efficient defect pixel cluster detection and correction for Bayer CFA image sequences. In: Proceedings of SPIE, 2011, 7876: 78760I

    [2] Lopez-Alonso J M, Alda J. Bad pixel identification by means of principal components analysis. Optical Engineering, 2002, 41(9): 2152-2157

    [3] Wang B J, Liu S Q, Li Q, Lei R. Blind-pixel correction algorithm for an infrared focal plane array based on moving-scene analysis. Optical Engineering, 2006, 45(3): 036401

    [4] Zhang K, Zhao G F, Cui R Q, Yuan Q J. Method of improving bad pixel detection precision of IRFPA. Infrared and Laser Engineering, 2007, 36(4): 453-456

    [5] Fischer A D, Downes T V, Leather R. Median spectral-spatial bad pixel identification and replacement for hyperspectral SWIR sensors. In: Shen S S, Lewis P E, eds. Proceedings of SPIE, 2011, 6565: 65651E

    [6] Ghosh S, Marshall I, Freitas A A. Autonomously detecting the defective pixels in an imaging sensor array using a robust statistical technique. In: Proceedings of SPIE-IS & T, 2008, 6808: 680813

    [7] Mao J X, Wang Y F. Statistical analysis of defective pixels for IRFPA detector using MATLAB. Infrared, 2009, 30(3): 43-45

    [8] Zhang S Q, Karim M A. A new impulse detector for switching median filters. IEEE Signal Processing Letters, 2002, 9(11): 360-363

    [9] Meng X L, Zhang W, Cong M Y, Cao Y M, Bao W Z. Bad pixel replacement based on spatial statistics for IR sensor. In: Proceedings of SPIE, 2010, 7658: 76582N

    [10] Huang X, Zhang J Q, Liu D L. Algorithm of blind pixels compensation for adaptive detection and infrared image. Infrared and Laser Engineering, 2011, 40(7): 370-376

    [11] Demirhan M, Ozpinar A, Ozdamar L. Performance evaluation of spatial interpolation methods in the presence of noise. International Journal of Remote Sensing, 2003, 24(6): 1237-1258

    [12] An J, Lee W, Kim J. Adaptive detection and concealment algorithm of defective pixel. In: IEEE workshop on Signal Processing Systems, 2007: 651-656

    [13] Tanbakuchi A A, van der Sijde A, Dillen B, Theuwissen A J P, de Haan W. Adaptive pixel defect correction. In: Proceedings of SPIE, 2003, 5017: 360-370

    [14] Rummelt N I, Cicchi T, Curzan J P. A combined non-uniformity and bad pixel correction method for superpixelated infrared imagery. In: Proceedings of SPIE, 2006, 6206: 62060V

    Minghui YANG, Sihai CHEN, Xin WU, Wen FU, Zhangli HUANG. Identification and replacement of defective pixel based on Matlab for IR sensor[J]. Frontiers of Optoelectronics, 2011, 4(4): 434
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